关键词: 组合评价, 并列排名, Kendall系数, 鲁棒性

Abstract: The paper presents a combination evaluation method based on parallel rank. Firstly, supposing theperformance of action is determined by utility of original decision matrix, the consistent results of a variety of single evaluation methods are treated as constraints of the utility function. Then actions are sorted by comprehensive utility and share parallel rank when they have equal utilities, which is the mean value of two goal-programing's solutions. Secondly, Weak-Kendall coefficient is defined to measure the consistency of two different ranks of actions, through which simulation experiments have been designed to analyse the robustness of combination evaluation methods when action number changes or original data are disturbed. At last, through a case from literature, using four single evaluation methods, four combination evaluation methods and Parallel-Rank method, the results show that Parallel-Rank method has better robustness. Future research directions have been given at the end of the paper according to the study on influence of the single evaluation methods selection to Parallel-Rank method.

Key words: combination evaluation, juxtaposition, Kendall coefficient, robustness